Detection of DDoS Attack on SDN Control plane using Hybrid Machine Learning Techniques-Reference-Cited by-同舟云学术

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Detection of DDoS Attack on SDN Control plane using Hybrid Machine Learning Techniques

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Smart Systems and Inventive Technology (ICSSIT)
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Author:

Deepa V.,Sudar K. Muthamil,Deepalakshmi P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8742696/8748271/08748836.pdf?arnumber=8748836

Cited by 52 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Collaborative Approach to Detecting DDoS Attacks in SDN Using Entropy and Deep Learning;Journal of Telecommunications and Information Technology;2024-09-13

2. Devising a hybrid approach for near real-time DDoS detection in IoT;Computers and Electrical Engineering;2024-09

3. Review on DDoS Attack in Controller Environment of Software Defined Network;ICST Transactions on Scalable Information Systems;2024-07-24

4. Protecting Healthcare Systems Through an ML-Powered Cyberattack Detection Within Software-Defined Networking (SDN);2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

5. Providing Network Resilience through an Intelligent SDN Network;2024 Panhellenic Conference on Electronics & Telecommunications (PACET);2024-03-28

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